{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5KTF4ADPWUW7KFFRCT7O6CJCQR","short_pith_number":"pith:5KTF4ADP","canonical_record":{"source":{"id":"2310.11777","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T08:16:27Z","cross_cats_sorted":[],"title_canon_sha256":"4daa74873b798cd752a5e8697c9a83e8b9880cb31b8bb17fe9071a5480d91fe1","abstract_canon_sha256":"b61b90e4ebe713fa4e78c8d686e9bdce904a68ae6efd83805a8bc522cd36180b"},"schema_version":"1.0"},"canonical_sha256":"eaa65e006fb52df514b114feef0922846b58ecad63ab97d6e317bb0d5373f46d","source":{"kind":"arxiv","id":"2310.11777","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.11777","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"arxiv_version","alias_value":"2310.11777v1","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.11777","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_12","alias_value":"5KTF4ADPWUW7","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_16","alias_value":"5KTF4ADPWUW7KFFR","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_8","alias_value":"5KTF4ADP","created_at":"2026-07-05T07:02:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5KTF4ADPWUW7KFFRCT7O6CJCQR","target":"record","payload":{"canonical_record":{"source":{"id":"2310.11777","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T08:16:27Z","cross_cats_sorted":[],"title_canon_sha256":"4daa74873b798cd752a5e8697c9a83e8b9880cb31b8bb17fe9071a5480d91fe1","abstract_canon_sha256":"b61b90e4ebe713fa4e78c8d686e9bdce904a68ae6efd83805a8bc522cd36180b"},"schema_version":"1.0"},"canonical_sha256":"eaa65e006fb52df514b114feef0922846b58ecad63ab97d6e317bb0d5373f46d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:02:12.044130Z","signature_b64":"Wt+kt+FqULCrAUxftFeYkXkO2rrmta252uaHK1cYe++yuKcuTld23uTIBwJWbNGI9ji4RC3CoOB1vGqOSjD5Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eaa65e006fb52df514b114feef0922846b58ecad63ab97d6e317bb0d5373f46d","last_reissued_at":"2026-07-05T07:02:12.043687Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:02:12.043687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.11777","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:02:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z+SKEMl58TXiyMaWZ4QSkloDY4KNA/U2+acgPDfrHS3pEywNoi0kYX9WXCsSc02UbE1zOn9z4hehTW5DKPobBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T21:59:34.756968Z"},"content_sha256":"989dd57c6752c4340c6b0058a071e2764d8487d658292860eaa301dd76e7b607","schema_version":"1.0","event_id":"sha256:989dd57c6752c4340c6b0058a071e2764d8487d658292860eaa301dd76e7b607"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5KTF4ADPWUW7KFFRCT7O6CJCQR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DCRNN: A Deep Cross approach based on RNN for Partial Parameter Sharing in Multi-task Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jie Zhou, Qian Yu","submitted_at":"2023-10-18T08:16:27Z","abstract_excerpt":"In recent years, DL has developed rapidly, and personalized services are exploring using DL algorithms to improve the performance of the recommendation system. For personalized services, a successful recommendation consists of two parts: attracting users to click the item and users being willing to consume the item. If both tasks need to be predicted at the same time, traditional recommendation systems generally train two independent models. This approach is cumbersome and does not effectively model the relationship between the two subtasks of \"click-consumption\". Therefore, in order to improv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.11777","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.11777/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:02:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ihvsm5lSh+xq7PIjI2ZUEc5sIwqps5gKOtjs3KzBRTZHF1m+XpjjrFwSxLxslPc7NQKTDtR9VqEhF3gxf6dJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T21:59:34.757457Z"},"content_sha256":"a55d5eca4a0544a327131512804646e0556adab19c8a6caf628282fbd36de4e5","schema_version":"1.0","event_id":"sha256:a55d5eca4a0544a327131512804646e0556adab19c8a6caf628282fbd36de4e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5KTF4ADPWUW7KFFRCT7O6CJCQR/bundle.json","state_url":"https://pith.science/pith/5KTF4ADPWUW7KFFRCT7O6CJCQR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5KTF4ADPWUW7KFFRCT7O6CJCQR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-23T21:59:34Z","links":{"resolver":"https://pith.science/pith/5KTF4ADPWUW7KFFRCT7O6CJCQR","bundle":"https://pith.science/pith/5KTF4ADPWUW7KFFRCT7O6CJCQR/bundle.json","state":"https://pith.science/pith/5KTF4ADPWUW7KFFRCT7O6CJCQR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5KTF4ADPWUW7KFFRCT7O6CJCQR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5KTF4ADPWUW7KFFRCT7O6CJCQR","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b61b90e4ebe713fa4e78c8d686e9bdce904a68ae6efd83805a8bc522cd36180b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T08:16:27Z","title_canon_sha256":"4daa74873b798cd752a5e8697c9a83e8b9880cb31b8bb17fe9071a5480d91fe1"},"schema_version":"1.0","source":{"id":"2310.11777","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.11777","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"arxiv_version","alias_value":"2310.11777v1","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.11777","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_12","alias_value":"5KTF4ADPWUW7","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_16","alias_value":"5KTF4ADPWUW7KFFR","created_at":"2026-07-05T07:02:12Z"},{"alias_kind":"pith_short_8","alias_value":"5KTF4ADP","created_at":"2026-07-05T07:02:12Z"}],"graph_snapshots":[{"event_id":"sha256:a55d5eca4a0544a327131512804646e0556adab19c8a6caf628282fbd36de4e5","target":"graph","created_at":"2026-07-05T07:02:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2310.11777/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, DL has developed rapidly, and personalized services are exploring using DL algorithms to improve the performance of the recommendation system. For personalized services, a successful recommendation consists of two parts: attracting users to click the item and users being willing to consume the item. If both tasks need to be predicted at the same time, traditional recommendation systems generally train two independent models. This approach is cumbersome and does not effectively model the relationship between the two subtasks of \"click-consumption\". Therefore, in order to improv","authors_text":"Jie Zhou, Qian Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T08:16:27Z","title":"DCRNN: A Deep Cross approach based on RNN for Partial Parameter Sharing in Multi-task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.11777","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:989dd57c6752c4340c6b0058a071e2764d8487d658292860eaa301dd76e7b607","target":"record","created_at":"2026-07-05T07:02:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b61b90e4ebe713fa4e78c8d686e9bdce904a68ae6efd83805a8bc522cd36180b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-10-18T08:16:27Z","title_canon_sha256":"4daa74873b798cd752a5e8697c9a83e8b9880cb31b8bb17fe9071a5480d91fe1"},"schema_version":"1.0","source":{"id":"2310.11777","kind":"arxiv","version":1}},"canonical_sha256":"eaa65e006fb52df514b114feef0922846b58ecad63ab97d6e317bb0d5373f46d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eaa65e006fb52df514b114feef0922846b58ecad63ab97d6e317bb0d5373f46d","first_computed_at":"2026-07-05T07:02:12.043687Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:12.043687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wt+kt+FqULCrAUxftFeYkXkO2rrmta252uaHK1cYe++yuKcuTld23uTIBwJWbNGI9ji4RC3CoOB1vGqOSjD5Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:12.044130Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.11777","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:989dd57c6752c4340c6b0058a071e2764d8487d658292860eaa301dd76e7b607","sha256:a55d5eca4a0544a327131512804646e0556adab19c8a6caf628282fbd36de4e5"],"state_sha256":"a69c3ad5b27ca52a93419f484d280a91aaec91fa012a26417d8e6e0a73fa02d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6BJX7DNnDkqiR7Msu/22DIe4Trm2p/B2rRbTiRXaLj8ojE1RszOQTM3vNrmisbpwXdcDOu9zBnqZ2v3+1rxpCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T21:59:34.766557Z","bundle_sha256":"b02fc37bd60dd308421bbce4100f255f689c77280f6e007004e390eaef2b0111"}}